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• W2055050002 abstract "Statistical approaches help in the determination of significant configurations in protein and nucleic acid sequence data. Three recent statistical methods are discussed: (i) score-based sequence analysis that provides a means for characterizing anomalies in local sequence text and for evaluating sequence comparisons; (ii) quantile distributions of amino acid usage that reveal general compositional biases in proteins and evolutionary relations; and (iii) r-scan statistics that can be applied to the analysis of spacings of sequence markers." @default.
• W2055050002 created "2016-06-24" @default.
• W2055050002 creator A5033118239 @default.
• W2055050002 creator A5054404005 @default.
• W2055050002 date "1992-07-03" @default.
• W2055050002 modified "2023-09-26" @default.
• W2055050002 title "Chance and Statistical Significance in Protein and DNA Sequence Analysis" @default.
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• W2055050002 doi "https://doi.org/10.1126/science.1621093" @default.
• W2055050002 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/1621093" @default.
• W2055050002 hasPublicationYear "1992" @default.
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